Mentor's Seminar

2023/2024

Учебный год

ENG

Обучение ведется на английском языке

1

Кредиты

Кто читает:

Департамент менеджмента

Статус:

Курс обязательный

Когда читается:

1-й курс, 1-4 модуль

Преподаватели

Волкова Наталья Владимировна

Молчанов Павел Сергеевич

Плешкова Анастасия Юрьевна

Course Syllabus

Abstract

The mentor's seminar is intended for joint activities of the academic mentor and the student to solve the following tasks: determining individual educational results that the student intends to achieve during the development of the program; selection and coordination of academic disciplines, relevant projects and seminars; individual consultation of the student with the mentor about the progress of the program and the degree of achievement of results; adjustment of the individual curriculum in the case of of necessity.

Learning Objectives

• The aim of this seminar is to support students in building their individual learning trajectories and defining individual educational outcomes.

Expected Learning Outcomes

• To take ethical approach to work in international and multicultural teams
• Students can choose and formulate appropriate directions of their research, evaluate their practical value and theoretical contribution
• Able to identify soft and data skills relevant to a particular business area
• Able to implement sustainable development principles in research projects

Course Contents

• Introduction to the Master's program and data analytics
• Sustainable development goals in management and economics
• Skills for analysts
• Term paper discussion

Assessment Elements

• Class participation
  Participation in class discussion and completion the questionnaire
• Group presentation
  the topic is "Soft and data skills in data analytics"
• Class participation
  Individual or group discussion after the term papaer's pre-defence.

Interim Assessment

• 2023/2024 4th module
  0.4 * Class participation + 0.3 * Class participation + 0.3 * Group presentation

Bibliography

Recommended Core Bibliography

• UI AHSAAN, S., & MOURYA, A. K. (2019). Big Data Analytics: Challenges and Technologies. Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering, 17(4), 75–79.

Recommended Additional Bibliography

• Pyne, S., Prakasa Rao, B. L. S., & Rao, S. B. (2016). Big Data Analytics : Methods and Applications. New Delhi, India: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1281845